中图分类号： TP18；F626
文献标识码： A
DOI：10.16157/j.issn.0258-7998.200976
中文引用格式： 张杰俊，唐颖淳，季述郧，等. 一种基于图神经网络的电信诈骗识别方法[J].电子技术应用，2021，47(6)：25-29，34.
英文引用格式： Zhang Jiejun，Tang Yingchun，Ji Shuyun，et al. A telecom fraud identification method based on graph neural net-
work[J]. Application of Electronic Technique，2021，47(6)：25-29，34.

A telecom fraud identification method based on graph neural network

Abstract： While communication technology brings convenience to people, telecom fraud also increases sharply. Traditional detection methods are mainly based on data mining and statistical learning of history data. However, due to the high similarity between fraud behavior and normal business, traditional statistical methods are difficult to screen. This paper proposes to transform user communication relationship into a set of topological features and establish communication social directed graph, where vertices with statistical characteristics represent users and edges with relational characteristics represent activities between them. On the basis of the communication social graph, the potential characteristics of the communication social network are learned through the graph neural network, and the information characteristics of multiple nodes are aggregated through pooling readout mechanism, in order to identify the telecom fraud users. The validation of real communication history data shows the effectiveness of this method.

Key words : fraud detection；communication social network；graph neural networks；behavior classification